EP3710981A4 - Détection et description de point d'intérêt entièrement convolutif par adaptation homographique - Google Patents
Détection et description de point d'intérêt entièrement convolutif par adaptation homographique Download PDFInfo
- Publication number
- EP3710981A4 EP3710981A4 EP18878061.3A EP18878061A EP3710981A4 EP 3710981 A4 EP3710981 A4 EP 3710981A4 EP 18878061 A EP18878061 A EP 18878061A EP 3710981 A4 EP3710981 A4 EP 3710981A4
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- European Patent Office
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- point detection
- interest point
- fully convolutional
- description via
- homographic adaptation
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- 230000006978 adaptation Effects 0.000 title 1
- 238000001514 detection method Methods 0.000 title 1
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
- G06F18/24133—Distances to prototypes
- G06F18/24143—Distances to neighbourhood prototypes, e.g. restricted Coulomb energy networks [RCEN]
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- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
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- G06N3/048—Activation functions
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- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
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- G06T7/00—Image analysis
- G06T7/97—Determining parameters from multiple pictures
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/24—Aligning, centring, orientation detection or correction of the image
- G06V10/242—Aligning, centring, orientation detection or correction of the image by image rotation, e.g. by 90 degrees
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- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
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- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
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- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
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- G—PHYSICS
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- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
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- G—PHYSICS
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- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
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- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
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Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
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US201762586149P | 2017-11-14 | 2017-11-14 | |
US201762608248P | 2017-12-20 | 2017-12-20 | |
PCT/US2018/061048 WO2019099515A1 (fr) | 2017-11-14 | 2018-11-14 | Détection et description de point d'intérêt entièrement convolutif par adaptation homographique |
Publications (2)
Publication Number | Publication Date |
---|---|
EP3710981A1 EP3710981A1 (fr) | 2020-09-23 |
EP3710981A4 true EP3710981A4 (fr) | 2020-12-23 |
Family
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Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP18878061.3A Pending EP3710981A4 (fr) | 2017-11-14 | 2018-11-14 | Détection et description de point d'intérêt entièrement convolutif par adaptation homographique |
Country Status (9)
Country | Link |
---|---|
US (2) | US10977554B2 (fr) |
EP (1) | EP3710981A4 (fr) |
JP (2) | JP7270623B2 (fr) |
KR (1) | KR20200087757A (fr) |
CN (1) | CN111344716B (fr) |
AU (1) | AU2018369757B2 (fr) |
CA (1) | CA3078977A1 (fr) |
IL (2) | IL304881B2 (fr) |
WO (1) | WO2019099515A1 (fr) |
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EP3710981A4 (fr) | 2017-11-14 | 2020-12-23 | Magic Leap, Inc. | Détection et description de point d'intérêt entièrement convolutif par adaptation homographique |
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JP7525603B2 (ja) | 2019-11-12 | 2024-07-30 | マジック リープ, インコーポレイテッド | 位置特定サービスおよび共有場所ベースのコンテンツを伴うクロスリアリティシステム |
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CN115398314A (zh) | 2020-02-13 | 2022-11-25 | 奇跃公司 | 使用多分辨率帧描述符进行地图处理的交叉现实系统 |
WO2021163295A1 (fr) | 2020-02-13 | 2021-08-19 | Magic Leap, Inc. | Système de réalité croisée avec hiérarchisation d'informations de géolocalisation à des fins de localisation |
US11410395B2 (en) | 2020-02-13 | 2022-08-09 | Magic Leap, Inc. | Cross reality system with accurate shared maps |
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JP2023524446A (ja) | 2020-04-29 | 2023-06-12 | マジック リープ, インコーポレイテッド | 大規模環境のためのクロスリアリティシステム |
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CN113361542B (zh) * | 2021-06-02 | 2022-08-30 | 合肥工业大学 | 一种基于深度学习的局部特征提取方法 |
CN117836818A (zh) * | 2021-08-20 | 2024-04-05 | 索尼集团公司 | 信息处理装置、信息处理系统、模型以及模型的生成方法 |
US20230120604A1 (en) * | 2021-10-14 | 2023-04-20 | Ubotica Technologies Limited | System and Method for Maximizing Inference Accuracy using Recaptured Datasets |
CN114663594A (zh) * | 2022-03-25 | 2022-06-24 | 中国电信股份有限公司 | 图像特征点检测方法、装置、介质及设备 |
CN114863134B (zh) * | 2022-04-01 | 2024-06-14 | 浙大宁波理工学院 | 基于交替优化深度学习模型的三维模型兴趣点提取方法 |
KR102600939B1 (ko) | 2022-07-15 | 2023-11-10 | 주식회사 브이알크루 | 비주얼 로컬라이제이션을 위한 데이터를 생성하기 위한 방법 및 장치 |
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KR102615412B1 (ko) | 2023-01-19 | 2023-12-19 | 주식회사 브이알크루 | 비주얼 로컬라이제이션을 수행하기 위한 방법 및 장치 |
KR102600915B1 (ko) | 2023-06-19 | 2023-11-10 | 주식회사 브이알크루 | 비주얼 로컬라이제이션을 위한 데이터를 생성하기 위한 방법 및 장치 |
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EP3710981A4 (fr) * | 2017-11-14 | 2020-12-23 | Magic Leap, Inc. | Détection et description de point d'intérêt entièrement convolutif par adaptation homographique |
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2018
- 2018-11-14 EP EP18878061.3A patent/EP3710981A4/fr active Pending
- 2018-11-14 IL IL304881A patent/IL304881B2/en unknown
- 2018-11-14 AU AU2018369757A patent/AU2018369757B2/en active Active
- 2018-11-14 US US16/190,948 patent/US10977554B2/en active Active
- 2018-11-14 WO PCT/US2018/061048 patent/WO2019099515A1/fr unknown
- 2018-11-14 JP JP2020526192A patent/JP7270623B2/ja active Active
- 2018-11-14 IL IL274426A patent/IL274426B2/en unknown
- 2018-11-14 CN CN201880073360.0A patent/CN111344716B/zh active Active
- 2018-11-14 CA CA3078977A patent/CA3078977A1/fr active Pending
- 2018-11-14 KR KR1020207012922A patent/KR20200087757A/ko not_active Application Discontinuation
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2021
- 2021-02-18 US US17/179,226 patent/US11537894B2/en active Active
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2023
- 2023-04-25 JP JP2023071522A patent/JP7403700B2/ja active Active
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Also Published As
Publication number | Publication date |
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JP7270623B2 (ja) | 2023-05-10 |
IL274426A (en) | 2020-06-30 |
US20210241114A1 (en) | 2021-08-05 |
JP2021503131A (ja) | 2021-02-04 |
KR20200087757A (ko) | 2020-07-21 |
IL304881A (en) | 2023-10-01 |
IL304881B2 (en) | 2024-07-01 |
CN111344716A (zh) | 2020-06-26 |
US20190147341A1 (en) | 2019-05-16 |
JP2023083561A (ja) | 2023-06-15 |
IL274426B1 (en) | 2023-09-01 |
US11537894B2 (en) | 2022-12-27 |
AU2018369757B2 (en) | 2023-10-12 |
IL274426B2 (en) | 2024-01-01 |
AU2018369757A1 (en) | 2020-05-14 |
EP3710981A1 (fr) | 2020-09-23 |
US10977554B2 (en) | 2021-04-13 |
WO2019099515A1 (fr) | 2019-05-23 |
IL304881B1 (en) | 2024-03-01 |
CN111344716B (zh) | 2024-07-19 |
CA3078977A1 (fr) | 2019-05-23 |
JP7403700B2 (ja) | 2023-12-22 |
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